Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2020 | 61 | 211-221

Article title

Determining Scholastic Aptitude Test as Predictors of Academic Achievement on Students of Islamic School in Indonesia

Content

Title variants

Languages of publication

Abstracts

EN
Selection of new students is based on student potential. Research on the potential of the cognitive abilities and records of Islamic school students’ academic achievement in Indonesia are still very rare. This paper presents empirical data about the predictive ability of a test of scholastic ability for the academic achievement of Islamic school students in Indonesia. This research used a quantitative approach with a survey method that used the Ministry of Religious Affair (MORA)’s Scholastic Aptitude Test (SAT) and Students’ scores on 5 subjects in the first semester. The subjects of this study were 9609 Islamic school students selected using a quota sampling technique that represented Islamic schools in Indonesia. The results of this study indicate that all of the SAT subsets, those are verbal, numerical, analytical and spatial, are significant predictors of academic achievement of Islamic school students in Indonesia. The empirical analytical sub-test is the strongest predictor of Islamic school students’ academic scores. While, the analytical sub-test has very significant correlation with the academic score on Islamic Studies subjects. Meanwhile the verbal sub-test has a very strong relationship with academic achievement in Arabic and English subjects, the numerical sub-test very strongly relates to academic achievement in science and mathematics subjects. Among the four SAT subtests, the spatial sub-test had the lowest correlation with all subjects

Year

Volume

61

Pages

211-221

Physical description

Dates

published
2020

Contributors

author
  • UIN Sunan Ampel Surabaya
author
  • UIN Sunan Ampel Surabaya
  • UIN Sunan Ampel Surabaya
  • UIN Sunan Ampel Surabaya
  • UIN Sunan Ampel Surabaya
author
  • UIN Sunan Ampel Surabaya

References

  • Abbasi, A., & Izadpanah, S. (2018). The Relationship Between Critical Thinking, its Subscales and Academic Achievement of English Language Course: The Predictability of Educational Success Based on Critical Thinking. Academy Journal of Educational Sciences, 2(2), 91-105.
  • Aderogba, A.A., & Olatoye, R.A. (2011). Performance of senior secondary school science students in aptitude test: The role of student verbal and numerical abilities. Journal of Emerging Trends in Educational Research and Policy Studies, 2(6), 431-435.
  • Aksamovic, A., Djordjevic, M., Malec, D., & Memisevic, H. (2019). Relationship Between The Verbal Fluency And Academic Achievement In Second And Third Grade Students: The Effects Of Gender And Parents’ educational Level. Acta Neuropsychologica, 17(2).
  • Anazia, I.U. (2019). Quantitative and Verbal Aptitudes as Predictors of Senior Secondary School Students’ Performance in Economics. IAFOR Journal of Education, 7(1), 7-18.
  • Andrew, M.D., Cobb, C.D., & Giampietro, P.J. (2005). Verbal ability and teacher effectiveness. Journal of Teacher Education, 56(4), 343-354.
  • Barlow-Jones, G., & van der Westhuizen, D. (2017). Problem solving as a predictor of programming performance. Annual Conference of the Southern African Computer Lecturers’ Association, 209-216.
  • Barreiro, O.M. (2014). Cognitive ability, thinking styles, emotional intelligence, and their impact on academic performance. Unpublished doctoral dissertation, Walden University.
  • Bazelais, P., Lemay, D.J., & Doleck, T. (2016). How Does Grit Impact College Students’ Academic Achievement in Science?. European Journal of Science and Mathematics Education, 4(1), 33-43.
  • Brandt, N.D., Lechner, C.M., Tetzner, J., & Rammstedt, B. (2019). Personality, cognitive ability, and academic performance: Differential associations across school subjects and school tracks. Journal of Personality 88(2), 249-265.
  • Chong, Y.L., & Yeo, K.J. (2016). Cognitive ability and academic achievement of undergraduates. Man in India, 96(6), 1777-1786.
  • Ciarrochi, J., & Heaven, P.C.L. (2012). Religious values and the development of trait hope and self-esteem in adolescents. Journal for the Scientific Study of Religion, 51(4), 676-688.
  • Demetriou, A., Kazi, S., Makris, N., & Spanoudis, G. (2020). Cognitive ability, cognitive self-awareness, and school performance: From childhood to adolescence. Intelligence, 79, Article 101432.
  • Demetriou, A., Kazi, S., Spanoudis, G., & Makris, N. (2019). Predicting school performance from cognitive ability, self-representation, and personality from primary school to senior high school. Intelligence, 76, Article 101381.
  • Desoete, A., Stock, P., Schepens, A., Baeyens, D., & Roeyers, H. (2009). Classification, seriation, and counting in grades 1, 2, and 3 as two-year longitudinal predictors for low achieving in numerical facility and arithmetical achievement? Journal of Psychoeducational Assessment, 27(3), 252-264.
  • Duckworth, A.L., Quirk, A., Gallop, R., Hoyle, R.H., Kelly, D.R., & Matthews, M.D. (2019). Cognitive and noncognitive predictors of success. Proceedings of the National Academy of Sciences, 116(47), 23499-23504.
  • Dumas, D., & Schmidt, L. (2015). Relational reasoning as predictor for engineering ideation success using TRIZ. Journal of Engineering Design, 26(1-3), 74-88.
  • Farran, L.K., Bingham, G., & Matthews, M. (2016). Language Predictors of Word Reading in Bilingual English-Arabic Children. Arab Journal of Applied Linguistics, 2(1), 91-116.
  • Hall, C.W., Kauffmann, P.J., Wuensch, K.L., Swart, W.E., DeUrquidi, K.A., Griffin, O.H., & Duncan, C.S. (2015). Aptitude and personality traits in retention of engineering students. Journal of Engineering Education, 104(2), 167-188.
  • Heeren, J., Speelman, D., & De Wachter, L. (2020). A practical academic reading and vocabulary screening test as a predictor of achievement in first-year university students: Implications for test purpose and use. International Journal of Bilingual Education and Bilingualism, 1-16.
  • Komarraju, M., Ramsey, A., & Rinella, V. (2013). Cognitive and non-cognitive predictors of college readiness and performance: Role of academic discipline. Learning and Individual Differences, 24, 103-109. https://doi.org/10.1016/j.lindif.2012.12.007
  • Lyons, I.M., Price, G.R., Vaessen, A., Blomert, L., & Ansari, D. (2014). Numerical predictors of arithmetic success in grades 1-6. Developmental Science, 17(5), 714-726.
  • Maiti, S. (2017). Impact of reasoning ability on mathematics achievement. International Journal of Research and Scientific Innovation IV(VI), 111-113.
  • Mandelman, S.D., Barbot, B., & Grigorenko, E.L. (2016). Predicting academic performance and trajectories from a measure of successful intelligence. Learning and Individual Differences, 51, 387-393.
  • Memisevic, H., Biscevic, I., & Pasalic, A. (2018). Predictors Of Math Achievement In Elementary School Students Grades 1-3. Acta Neuropsychologica, 16(3).
  • Muhid, A., Kurjum, M., Thohir, M., Ridho, A., Yusuf, A., Suryani, S., & Asyhar, A.H. (2020). Cognitive and personality test as a predictor of religious education achievement among students of religious program of Islamic schools in Indonesia. Elementary Education Online, 19(4), 2408-2418.O’Connor, M.C., & Paunonen, S.V. (2007). Big Five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43(5), 971-990. https://doi.org/10.1016/j.paid.2007.03.017
  • Ogunyemi, K.O., Akoko, A., State, O., Adebowale, E.O., Akoko, A., & State, O. (2018). Verbal Ability and Grammatical Competence as Determinants of Secondary School Students ’ Writing Competence. International Journal of Scientific Research in Education 11(3B), 521-528.
  • Payadnya, I. (2019). Investigation of students’ mathematical reasoning ability in solving open-ended problems. Journal of Physics: Conference Series, 1200(1), 12016.
  • Pedaste, M., Must, O., Silm, G., Täht, K., Kori, K., Leijen, Ä., & Mägi, M.-L. (2015). How do cognitive ability and study motivation predict the academic performance of IT students? ICERI Conference.
  • Rajalaxmi, R.R., Natesan, P., Krishnamoorthy, N., & Ponni, S. (2019). Regression Model for Predicting Engineering Students Academic Performance. International Journal of Recent Technology and Engineering 7(6S3), 71-75
  • Rani, K.V. (2017). Reasoning Ability and Academic Achievement among Secondary School Students in Trivandrum. Journal on School Educational Technology, 13(2), 20-30.
  • Schaap, P., & Luwes, M. (2013). Learning potential and academic literacy tests as predictors of academic performance for engineering students. Acta Academica, 45(3), 181-214.
  • Septia, T., Yuwono, I., Parta, I.N., & Susanto, H. (2019). Spatial reasoning ability of mathematics college students. Journal of Physics: Conference Series, 1188(1), 12102.
  • Srimaharaj, W., Chaising, S., Sittiprapaporn, P., Temdee, P., & Chaisricharoen, R. (2020). Effective Method for Identifying Student Learning Ability During Classroom Focused on Cognitive Performance. Wireless Personal Communications, 1-18.
  • Sulphey, M.M., Al-Kahtani, N.S., & Syed, A.M. (2018). Relationship between admission grades and academic achievement. Journal of Entrepreneurship and Sustainability Issues 5(3):648-658
  • Thiele, T., Singleton, A., Pope, D., & Stanistreet, D. (2016). Predicting students’ academic performance based on school and socio-demographic characteristics. Studies in Higher Education, 41(8), 1424-1446.
  • Van Eeden, R., De Beer, M., & Coetzee, C.H. (2001). Cognitive ability, learning potential, and personality traits as predictors of academic achievement by engineering and other science and technology students. South African Journal of Higher Education, 15(1), 171-179.
  • Veas, A., Castejón, J.-L., Gilar, R., & Miñano, P. (2015). Academic achievement in early adolescence: The influence of cognitive and non-cognitive variables. The Journal of General Psychology, 142(4), 273-294.
  • Wang, D., Yuan, F., & Wang, Y. (2020). Growth mindset and academic achievement in Chinese adolescents: A moderated mediation model of reasoning ability and self-affirmation. Current Psychology, 1-10.
  • Williamson III, K.C., & Anderson, A.J. (2019). Reasoning ability as a predictor of success in a construction surveying course. International Journal of Construction Education and Research, 15(1), 42-61.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1963593

YADDA identifier

bwmeta1.element.ojs-doi-10_15804_tner_20_61_3_16
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.